A novel dynamic scheduling model for application in multimode approach
This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency...
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| Published in | Scientific reports Vol. 15; no. 1; pp. 27980 - 26 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
31.07.2025
Nature Publishing Group Nature Portfolio |
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| Abstract | This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach. |
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| AbstractList | This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach. This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach.This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach. Abstract This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded modes in highly volatile environments. A novel job dynamic scheduling optimization model is proposed to enhance the multimode system resiliency and robustness to unexpected events. The formulated optimization problem is expressed as a MILP aimed at minimizing the makespan, subject to constraints reflecting the characteristics of multimode behavior. Quantitative data were gathered through requirement documents inspired from real-life scenarios. They comprise several elements related to processing times, jobs, operations, machines employed, and RUL prediction. Various experiments are conducted to demonstrate the validity and the accuracy of the proposed approach. |
| ArticleNumber | 27980 |
| Author | Kamach, Oulaid Elqabli, Zineb Khatab, Abdelhakim Chater, Youness |
| Author_xml | – sequence: 1 givenname: Zineb orcidid: 0000-0001-6815-8566 surname: Elqabli fullname: Elqabli, Zineb email: Zineb.elqabli@etu.uae.ac.ma organization: Innovative Technologies Laboratory, National School of Applied Sciences Tangier – sequence: 2 givenname: Oulaid orcidid: 0000-0003-0642-0041 surname: Kamach fullname: Kamach, Oulaid organization: Innovative Technologies Laboratory, National School of Applied Sciences Tangier – sequence: 3 givenname: Abdelhakim orcidid: 0000-0003-1166-3806 surname: Khatab fullname: Khatab, Abdelhakim organization: Laboratory of Computer Engineering, Production and Maintenance, Lorraine University – sequence: 4 givenname: Youness orcidid: 0000-0001-5837-3887 surname: Chater fullname: Chater, Youness organization: Innovative Technologies Laboratory, National School of Applied Sciences Tangier |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40745427$$D View this record in MEDLINE/PubMed |
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| Keywords | Dynamic scheduling Makespan Modelling Optimization Multimode approach |
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| Snippet | This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and degraded... Abstract This study addresses job scheduling problem in multimode systems. A multimode system is designed to perform flexibly and reliably under normal and... |
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| SubjectTerms | 639/705/1041 639/705/117 Artificial intelligence Digital twins Dynamic scheduling Genetic algorithms Humanities and Social Sciences Job shops Literature reviews Makespan Manufacturing Methods Modelling multidisciplinary Multimode approach Optimization Planning Scheduling Science Science (multidisciplinary) Simulation Value chain |
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| Title | A novel dynamic scheduling model for application in multimode approach |
| URI | https://link.springer.com/article/10.1038/s41598-025-10710-x https://www.ncbi.nlm.nih.gov/pubmed/40745427 https://www.proquest.com/docview/3235212849 https://www.proquest.com/docview/3235390305 https://doaj.org/article/419bffe30d1c479c8ad257d22c28961d |
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